What gets preserved

Spoken code (e.g., "import requests, then call requests dot get") is transcribed as text — readable, but not as a syntactically perfect code block. For tutorials where the screen shows actual code being typed, the visual code itself isn't OCR'd (we transcribe audio, not video frames). Result: explanation as Markdown plus your manual add-back of the visible code from screenshots.

The combined workflow

Watch the tutorial once at 1.5x or 2x. While watching, take screenshots of important code states. Convert the video to Markdown for the explanation. Drop the screenshots into the .md alongside the relevant explanation paragraphs. End result: a written tutorial you can re-read in 10 minutes instead of re-watching for 45.

For Cursor / AI-coding workflows

Once converted, drop the .md into Cursor as context. Now your AI assistant has the tutorial's framing while you implement. See Video to Markdown for Cursor for the full workflow.